iR37 7” Touchless Infrared Thermometer
The ideal solution for space security. Recognize individuals and employees entering your business. Scan for high temperatures and face mask compliance.
Key Features:
- 10,000+ database, likeness recognition algorithm* Read Speed at 0.4 seconds
- Suitable for multi-applications and two thermometry modes: precision and fast mode
- Attendance report (Local Download/PC software Download)
- Global sales and tech support from Liberty AV using the Pinnaca help desk services
- Video training available if required
- No Huawei chips and no fan
- Life cycle software management with support contract
- UK based IPR for iR37
- SDK to integrate API into back office or BMS solutions
- 24 months warranty
NOTE: This device is not a medical device and should be used for guidance only.
| POWER | DC 12V/3A |
| CPU | Rk3288 quad-core 1.8G |
| RAM | DDR3 2G |
| FLASH | EMMC8G |
| OS | Android |
| PANEL | 7 inch IPS 800x480 Solutions |
| TOUCH PANEL | G+G Capacitive Touch Panel |
| CAMERA | High Dynamic Rage 2Mega-pixel Camera |
| TEST DISTANCE | Medical Level Accuracy +/- 0.3°C O.5-0.75M (the optimum testing distance is 0.5m at under 16°C-35°C) |
| BACK UP LIGHT | White, RGB camera back up light |
| SPEAKER | 3W 4Ω |
| FACE RECOGNITION* | l0,000+ Database, Recognition Algorithm, Recognition Speed: 0.4 sec |
| MATERIAL | Aluminium alloy and 304 stainless steel |
| SUPPORT BRACKETS | Wall hanging bracket. Turnstile bracket. Free-standing bracket |
| DIMENSIONS | 156 mm (W) x 321mm (H) x 37mm (D) |
| APPLICATION | Time attendance. Turnstile. Door access control. (OEM Design is available) |
Features
Temperature Detection
Medical-grade body, temperature detection module. Tolerance: ±0.3 °C
Face Recognition
Anti-backlighting Camera
Distance Measuring
Ultrasonic technology for measuring distance from the device
Temperature Detection
Medical-grade body, temperature detection module. Tolerance: ±0.3 °C
Face Recognition
Anti-backlighting Camera
Distance Measuring
Ultrasonic technology for measuring distance from the device
